BUSINESS CONDITIONS REGIONAL ANALYSIS WITH A REFERENCE TO POTENTIALS IN TOURISM DEVELOPMENT: THE CASE OF SERBIA

Author:

Mitrović ĐorđeORCID,Manić EmilijaORCID,Ivanović Slobodan

Abstract

Purpose – Tourism is one of the fastest-growing sectors in the world, and many developing countries saw it as the chance of economic development accelerating. However, tourism potential is different among countries as well as within one country. The scope of this paper is to reveal the regional differences in business conditions considering tourism development in Serbia. Methodology – Instead of using a wide number of different individual indicators measuring regions’ tourism performances, it is more appropriate to use one composite indicator for depicting complex issues in regional tourism development - a composite index was developed using Data Envelopment Analysis. Data Envelopment Analysis is a sort of methodology that constructs an ‘efficiency frontier’ based on each region’s individual data using mathematical linear programming. It determines the best practice by measuring the relative position of each of the regions in terms of the value of the set of observed indicators. Such presentation of the existing region’s development in the tourism field and recommendations for possible improvement are clearer to the general public and non-scientific audience. The composite index is calculated as the weighted sum of the corresponding individual indicators, where the weights are endogenously determined by mathematical linear programming to obtain the maximum possible value. Findings – The results of DEA showed which parts of Serbia have the best business conditions for tourism development, considering the different factors (regional development index and subindexes). The results have been contrasted to chosen tourism statistics on the regional level, with a reference to the limitations during the research process. The proposed composite index is used to point the differences in regional business conditions which could be further influenced by government policies to tackle the specificities and needs of each separate region during tourism development. Contribution – DEA is a known methodology in regional development analysis, but it hasn’t been so much used in business conditions regional analysis before. Having different indicators which shaped business climate within one region, using DEA one tried to analyze the entrepreneurship possibilities with a spatial reference to the tourism development. This is an important contribution in the context of local economic and social development especially within poorly developed regions in Serbia

Publisher

University of Rijeka, Faculty of Tourism and Hospitality Management

Reference36 articles.

1. Adobayo, K.A. and Iweka, C.O.A. (2014), "Optimizing the Sustainability of Tourism Infrastructure in Nigeria through Design for Deconstruction Framework", American Journal of Tourism Management, Vol. 3, 1A, pp. 13-19. doi: 10.5923/s.tourism.201401.03

2. Adrian, S.C. (2017), "The Impact of Tourism on the Global Economic System", Ovidius University Annals, Economic Sciences Series, Vol. 27, No. 1, http://stec.univovidius. ro/html/anale/ENG/2017/SectionIV/22.pdf

3. Blackman, A., Foster, F., Hyvonen, T., Jewell, B., Kuilboer, A. and Moscardo G. (2004), "Factors Contributing to Successful Tourism Development in Peripheral Regions", The Journal of Tourism Studies, Vol. 15, No. 1, pp. 59-70

4. Peripherality - factor or feature? Reflections on peripherality in tourism research;Blomgren;Progress in Tourism and Hospitality Research Vol,1998

5. Buhalis, D. (1999), "Limits of tourism development in peripheral destinations: Problems and challenges", Tourism Management, Vol. 20, pp. 183-185.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3